Controlling a user selection queue

ABSTRACT

Various implementations disclosed herein include devices, systems, and methods for compositing an affordance in association with a CGR object representing a physical article. In various implementations, a device includes a display, a non-transitory memory, and one or more processors coupled with the display and the non-transitory memory. In some implementations, a method includes displaying a computer-generated reality (CGR) object in a CGR environment. In some implementations, the CGR object represents a physical article. In some implementations, the method includes compositing an affordance in association with the CGR object. In some implementations, the method includes detecting an input directed to the affordance. In some implementations, the method includes, in response to detecting the input, adding an identifier identifying the physical article to a user selection queue.

CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No.16/862,473, filed on Apr. 29, 2020, which claims the benefit of U.S.Provisional Patent App. No. 62/855,920, filed on Jun. 1, 2019, which areincorporated by reference in their entirety.

TECHNICAL FIELD

The present disclosure generally relates to controlling a user selectionqueue.

BACKGROUND

Some devices are capable of generating and presenting computer-generatedreality (CGR) environments. Some CGR environments include virtualenvironments that are simulated replacements of physical environments.Some CGR environments include augmented environments that are modifiedversions of physical environments. Some devices that present CGRenvironments include mobile communication devices such as smartphones,head-mountable displays (HMDs), eyeglasses, heads-up displays (HUDs),and optical projection systems. However, most previously availabledevices that present CGR environments are ineffective at controllinguser selection queues.

BRIEF DESCRIPTION OF THE DRAWINGS

So that the present disclosure can be understood by those of ordinaryskill in the art, a more detailed description may be had by reference toaspects of some illustrative implementations, some of which are shown inthe accompanying drawings.

FIGS. 1A-1L are diagrams of an example operating environment forcontrolling a user selection queue in accordance with someimplementations.

FIGS. 2A-2G are diagrams of an example operating environment fordisplaying a CGR object that represents a wearable physical article inaccordance with some implementations.

FIGS. 3A-3I are diagrams of an example operating environment forconcurrently controlling multiple user selection queues in accordancewith some implementations.

FIGS. 4A-4O are diagrams of an example operating environment forcompositing a masking element in accordance with some implementations.

FIGS. 5A-5C are flowchart representations of a method of controlling auser selection queue in accordance with some implementations.

FIGS. 6A-6C are flowchart representations of a method of displaying aCGR object that represents a wearable physical article in accordancewith some implementations.

FIGS. 7A-7C are flowchart representations of a method of concurrentlycontrolling multiple user selection queues in accordance with someimplementations.

FIGS. 8A-8C are flowchart representations of a method of compositing amasking element in accordance with some implementations.

FIG. 9 is a block diagram of a device that presents a CGR environment inaccordance with some implementations.

In accordance with common practice the various features illustrated inthe drawings may not be drawn to scale. Accordingly, the dimensions ofthe various features may be arbitrarily expanded or reduced for clarity.In addition, some of the drawings may not depict all of the componentsof a given system, method or device. Finally, like reference numeralsmay be used to denote like features throughout the specification andfigures.

SUMMARY

Various implementations disclosed herein include devices, systems, andmethods for compositing an affordance in association with a CGR objectrepresenting a physical article. In various implementations, a deviceincludes a display, a non-transitory memory and one or more processorscoupled with the display and the non-transitory memory. In someimplementations, a method includes displaying a computer-generatedreality (CGR) object in a CGR environment. In some implementations, theCGR object represents a physical article. In some implementations, themethod includes compositing an affordance in association with the CGRobject. In some implementations, the method includes detecting an inputdirected to the affordance. In some implementations, the methodincludes, in response to detecting the input, adding an identifieridentifying the physical article to a user selection queue.

Various implementations disclosed herein include devices, systems, andmethods for displaying a CGR object representing a wearable physicalarticle in accordance with a deformation model of the wearable physicalarticle. In various implementations, a device includes a display, anon-transitory memory and one or more processors coupled with thedisplay and the non-transitory memory. In some implementations, a methodincludes obtaining a computer-generated reality (CGR) representation ofa person. In some implementations, at least a portion of the CGRrepresentation is proportional to a corresponding portion of the person.In some implementations, the method includes obtaining a CGR object thatrepresents a wearable physical article. In some implementations, the CGRobject is associated with a deformation model characterizing one or morematerial characteristics of the wearable physical article. In someimplementations, the method includes displaying the CGR object inassociation with the CGR representation of the person. In someimplementations, the CGR object interfaces with the CGR representationof the person in accordance with the deformation model.

Various implementations disclosed herein include devices, systems, andmethods for adding identifiers of physical articles to source-specificuser selection queues. In various implementations, a device includes adisplay, a non-transitory memory and one or more processors coupled withthe display and the non-transitory memory. In some implementations, amethod includes displaying a plurality of computer-generated reality(CGR) objects representing respective physical articles from a pluralityof sources including a first source and a second source. In someimplementations, the method includes detecting an input selecting afirst CGR object of the plurality of CGR objects and a second CGR objectof the plurality of CGR objects. In some implementations, the first CGRobject represents a first physical article from the first source and thesecond CGR object represents a second physical article from the secondsource. In some implementations, the method includes adding anidentifier of the first physical article to a first user selection queuethat is associated with the first source. In some implementations, themethod includes adding an identifier of the second physical article to asecond user selection queue that is associated with the second source.

Various implementations disclosed herein include devices, systems, andmethods for masking physical articles occluding a physical surface. Invarious implementations, a device includes a display, an environmentalsensor, a non-transitory memory and one or more processors coupled withthe display, the environmental sensor and the non-transitory memory. Insome implementations, a method includes detecting a physical surface ina physical environment surrounding the device. In some implementations,the method includes detecting one or more physical articles occludingrespective portions of the physical surface. In some implementations,the method includes compositing a masking element in order to mask theone or more physical articles that are located on the physical surface.

In accordance with some implementations, a device includes one or moreprocessors, a non-transitory memory, and one or more programs. In someimplementations, the one or more programs are stored in thenon-transitory memory and are executed by the one or more processors. Insome implementations, the one or more programs include instructions forperforming or causing performance of any of the methods describedherein. In accordance with some implementations, a non-transitorycomputer readable storage medium has stored therein instructions that,when executed by one or more processors of a device, cause the device toperform or cause performance of any of the methods described herein. Inaccordance with some implementations, a device includes one or moreprocessors, a non-transitory memory, and means for performing or causingperformance of any of the methods described herein.

DESCRIPTION

Numerous details are described in order to provide a thoroughunderstanding of the example implementations shown in the drawings.However, the drawings merely show some example aspects of the presentdisclosure and are therefore not to be considered limiting. Those ofordinary skill in the art will appreciate that other effective aspectsand/or variants do not include all of the specific details describedherein. Moreover, well-known systems, methods, components, devices andcircuits have not been described in exhaustive detail so as not toobscure more pertinent aspects of the example implementations describedherein.

A physical environment refers to a physical world that people can senseand/or interact with without aid of electronic systems. Physicalenvironments, such as a physical park, include physical articles, suchas physical trees, physical buildings, and physical people. People candirectly sense and/or interact with the physical environment, such asthrough sight, touch, hearing, taste, and smell.

In contrast, a computer-generated reality (CGR) environment refers to awholly or partially simulated environment that people sense and/orinteract with via an electronic system. In CGR, a subset of a person'sphysical motions, or representations thereof, are tracked, and, inresponse, one or more characteristics of one or more virtual objectssimulated in the CGR environment are adjusted in a manner that comportswith at least one law of physics. For example, a CGR system may detect aperson's head turning and, in response, adjust graphical content and anacoustic field presented to the person in a manner similar to how suchviews and sounds would change in a physical environment. In somesituations (e.g., for accessibility reasons), adjustments tocharacteristic(s) of virtual object(s) in a CGR environment may be madein response to representations of physical motions (e.g., vocalcommands).

A person may sense and/or interact with a CGR object using any one oftheir senses, including sight, sound, touch, taste, and smell. Forexample, a person may sense and/or interact with audio objects thatcreate 3D or spatial audio environment that provides the perception ofpoint audio sources in 3D space. In another example, audio objects mayenable audio transparency, which selectively incorporates ambient soundsfrom the physical environment with or without computer-generated audio.In some CGR environments, a person may sense and/or interact only withaudio objects.

Examples of CGR include virtual reality and mixed reality.

A virtual reality (VR) environment refers to a simulated environmentthat is designed to be based entirely on computer-generated sensoryinputs for one or more senses. A VR environment comprises a plurality ofvirtual objects with which a person may sense and/or interact. Forexample, computer-generated imagery of trees, buildings, and avatarsrepresenting people are examples of virtual objects. A person may senseand/or interact with virtual objects in the VR environment through asimulation of the person's presence within the computer-generatedenvironment, and/or through a simulation of a subset of the person'sphysical movements within the computer-generated environment.

In contrast to a VR environment, which is designed to be based entirelyon computer-generated sensory inputs, a mixed reality (MR) environmentrefers to a simulated environment that is designed to incorporatesensory inputs from the physical environment, or a representationthereof, in addition to including computer-generated sensory inputs(e.g., virtual objects). On a virtuality continuum, a mixed realityenvironment is anywhere between, but not including, a wholly physicalenvironment at one end and virtual reality environment at the other end.

In some MR environments, computer-generated sensory inputs may respondto changes in sensory inputs from the physical environment. Also, someelectronic systems for presenting an MR environment may track locationand/or orientation with respect to the physical environment to enablevirtual objects to interact with real objects (that is, physicalarticles from the physical environment or representations thereof). Forexample, a system may account for movements so that a virtual treeappears stationery with respect to the physical ground.

Examples of mixed realities include augmented reality and augmentedvirtuality.

An augmented reality (AR) environment refers to a simulated environmentin which one or more virtual objects are superimposed over a physicalenvironment, or a representation thereof. For example, an electronicsystem for presenting an AR environment may have a transparent ortranslucent display through which a person may directly view thephysical environment. The system may be configured to present virtualobjects on the transparent or translucent display, so that a person,using the system, perceives the virtual objects superimposed over thephysical environment. Alternatively, a system may have an opaque displayand one or more imaging sensors that capture images or video of thephysical environment, which are representations of the physicalenvironment. The system composites the images or video with virtualobjects, and presents the composition on the opaque display. A person,using the system, indirectly views the physical environment by way ofthe images or video of the physical environment, and perceives thevirtual objects superimposed over the physical environment. As usedherein, a video of the physical environment shown on an opaque displayis called “pass-through video,” meaning a system uses one or more imagesensor(s) to capture images of the physical environment, and uses thoseimages in presenting the AR environment on the opaque display. Furtheralternatively, a system may have a projection system that projectsvirtual objects into the physical environment, for example, as ahologram or on a physical surface, so that a person, using the system,perceives the virtual objects superimposed over the physicalenvironment.

An augmented reality environment also refers to a simulated environmentin which a representation of a physical environment is transformed bycomputer-generated sensory information. For example, in providingpass-through video, a system may transform one or more sensor images toimpose a select perspective (e.g., viewpoint) different than theperspective captured by the imaging sensors. As another example, arepresentation of a physical environment may be transformed bygraphically modifying (e.g., enlarging) portions thereof, such that themodified portion may be representative but not photorealistic versionsof the originally captured images. As a further example, arepresentation of a physical environment may be transformed bygraphically eliminating or obfuscating portions thereof.

An augmented virtuality (AV) environment refers to a simulatedenvironment in which a virtual or computer generated environmentincorporates one or more sensory inputs from the physical environment.The sensory inputs may be representations of one or more characteristicsof the physical environment. For example, an AV park may have virtualtrees and virtual buildings, but people with faces photorealisticallyreproduced from images taken of physical people. As another example, avirtual object may adopt a shape or color of a physical article imagedby one or more imaging sensors. As a further example, a virtual objectmay adopt shadows consistent with the position of the sun in thephysical environment.

There are many different types of electronic systems that enable aperson to sense and/or interact with various CGR environments. Examplesinclude head-mounted systems, projection-based systems, heads-updisplays (HUDs), vehicle windshields having integrated displaycapability, windows having integrated display capability, displaysformed as lenses designed to be placed on a person's eyes (e.g., similarto contact lenses), headphones/earphones, speaker arrays, input systems(e.g., wearable or handheld controllers with or without hapticfeedback), smartphones, tablets, and desktop/laptop computers. Ahead-mounted system may have one or more speaker(s) and an integratedopaque display. Alternatively, a head-mounted system may be configuredto accept an external opaque display (e.g., a smartphone). Thehead-mounted system may incorporate one or more imaging sensors tocapture images or video of the physical environment, and/or one or moremicrophones to capture audio of the physical environment. Rather than anopaque display, a head-mounted system may have a transparent ortranslucent display. The transparent or translucent display may have amedium through which light representative of images is directed to aperson's eyes. The display may utilize digital light projection, OLEDs,LEDs, uLEDs, liquid crystal on silicon, laser scanning light source, orany combination of these technologies. The medium may be an opticalwaveguide, a hologram medium, an optical combiner, an optical reflector,or any combination thereof. In one implementation, the transparent ortranslucent display may be configured to become opaque selectively.Projection-based systems may employ retinal projection technology thatprojects graphical images onto a person's retina. Projection systemsalso may be configured to project virtual objects into the physicalenvironment, for example, as a hologram or on a physical surface.

Some CGR devices allow a user to view CGR representations of physicalarticles. However, if a user wants to add the physical article to a userselection queue, then the user has to navigate back to a webpagecorresponding to the physical article in order to populate the userselection queue with an identifier of the physical article. Thisdetracts from the user experience and requires too many user inputswhich unnecessarily drains the battery of the device. The presentdisclosure provides methods, systems, and/or devices for displaying aCGR object representing a physical article, and compositing anaffordance along with the CGR object. When the affordance is activated,the physical article is added to a user selection queue. The affordancereduces the need for unnecessary user inputs that correspond to the usernavigating back to a web page for the physical article in order to addthe physical article to the user selection queue.

FIG. 1A is a block diagram of an example physical environment 10 inaccordance with some implementations. While pertinent features areshown, those of ordinary skill in the art will appreciate from thepresent disclosure that various other features have not been illustratedfor the sake of brevity and so as not to obscure more pertinent aspectsof the example implementations disclosed herein. To that end, as anon-limiting example, the physical environment 10 includes a first floorlamp 12, a second floor lamp 14, and an electronic device 100. In someimplementations, the electronic device 100 is held by a person (notshown). In some implementations, the electronic device 100 includes asmartphone, a tablet, a laptop, or the like.

In the example of FIG. 1A, the electronic device 100 displays a web page102 corresponding to a couch. The web page 102 includes atwo-dimensional (2D) representation 104 of the couch (e.g., an image ofthe couch). The web page 102 also includes an affordance 106 to view aCGR representation of the couch. Referring to FIG. 1B, the electronicdevice 100 detects a user input 108 activating the affordance 106 (e.g.,a contact at a location corresponding to the affordance 106, forexample, a tap or a press). As shown in FIG. 1C, in response todetecting the user input 108, the electronic device 100 presents a CGRenvironment 110.

In the example of FIG. 1C, the CGR environment 110 includes a first CGRfloor lamp 112, a second CGR floor lamp 114 and a CGR couch 116. Thefirst CGR floor lamp 112 is a CGR representation of the first floor lamp12 in the physical environment 10. The second CGR floor lamp 114 is aCGR representation of the second floor lamp 14 in the physicalenvironment 10. The CGR couch 116 is a CGR representation of the couchrepresented by the 2D representation 104 on the web page 102 shown inFIGS. 1A-1B. In some implementations, the couch is associated with anidentifier (ID) 118 that identifies the couch. In some implementations,the ID 118 includes a set of one or more alphanumeric characters (e.g.,a serial number, an item number, a barcode number, a name, a title, adescription, etc.). In some implementations, the ID 118 includes amachine-readable representation of data (e.g., an opticalmachine-readable representation of data such as a barcode or a QR code).In some implementations, the electronic device 100 does not display theID 118 in the CGR environment 110. In some implementations, the CGRenvironment 110 is a pass-through (e.g., a video pass-through or anoptical pass-through) of the physical environment 10.

As shown in FIG. 1C, in some implementations, the electronic device 100composites an affordance 120 in association with the CGR couch 116. Theelectronic device 100 adds (e.g., writes) the ID 118 of the couch to auser selection queue 150 in response to an activation of the affordance120. In some implementations, the electronic device 100 displays theaffordance 120 adjacent to the CGR couch 116. For example, as shown inFIG. 1C, the electronic device 100 displays the affordance 120 below theCGR couch 116. However, in some implementations, the electronic device100 displays the affordance 120 at another location. For example, insome implementations, the electronic device 100 overlays the affordance120 onto the CGR couch 116. In the example of FIG. 1C, the affordance120 is visible. However, in some implementations, the affordance 120 isinvisible. For example, in some implementations, the CGR couch 116serves as the affordance 120. In such implementations, the electronicdevice 100 adds an ID of the couch to the user selection queue inresponse to detecting a selection of the CGR couch 116.

Referring to FIG. 1D, the electronic device 100 detects a user input 130directed to the affordance 120. In the example of FIG. 1D, the userinput 130 includes a contact at a location corresponding to theaffordance 120 (e.g., a tap or a press). In some implementations, theelectronic device 100 detects a gaze input directed to the affordance120. In some implementations, the electronic device 100 detects a verbalinput directed to the affordance 120. In some implementations, theelectronic device 100 detects a three-dimensional (3D) gesture thatcorresponds to a selection of the affordance 120. For example, theelectronic device 100 utilizes hand tracking to detect that a personcontrolling the electronic device 100 has performed the 3D gesture. Insome implementations, the electronic device 100 obtains an input, from acontroller (not shown), that corresponds to a selection of theaffordance 120. For example, the electronic device 100 detects anactivation of a controller button that corresponds to the affordance120. As shown in FIG. 1E, in response to detecting the user input 130,the electronic device 100 adds the ID 118 of the couch to the userselection queue 150.

Referring to FIG. 1E, in some implementations, the electronic device 100displays a notification 140 in response to detecting the user input 130shown in FIG. 1D. In some implementations, the notification 140indicates that the electronic device 100 has added the ID 118 of thecouch to the user selection queue 150. For example, as shown in FIG. 1E,in some implementations, the notification 140 includes text 142 (e.g.,“Couch added to queue”). In some implementations, the notification 140includes an affordance 144 to display a visual representation of theuser selection queue 150, and an affordance 146 to continue browsing.

Referring to FIG. 1F, the electronic device 100 detects a user input 130directed to the affordance 144 for displaying a visual representation ofthe user selection queue 150. As shown in FIG. 1G, in response todetecting the user input 130, the electronic device 100 displays avisual representation 151 of the user selection queue 150. In theexample of FIG. 1G, the visual representation 151 of the user selectionqueue 150 includes the 2D representation 104 of the couch, a description152 of the couch, a delete affordance 154 to remove the ID 118 from theuser selection queue 150, a modify affordance 156, and a confirmaffordance 158. In some implementations, the modify affordance 156allows a user of the electronic device 100 to modify a quantityassociated with the couch (e.g., increase the quantity from a defaultquantity of ‘1’ to a higher number). In some implementations, theconfirm affordance 158 allows a user of the electronic device 100 toconfirm the user selection queue 150. In some implementations, detectingan activation of the confirm affordance 158 triggers the electronicdevice 100 to perform an operation (e.g., the electronic device 100triggers transferring of credits to another device, for example, to adevice associated with a seller of the couch).

Referring to FIG. 1H, in some implementations, the electronic device 100displays the affordance 120 in a designated portion 160 of the CGRenvironment 110. In the example of FIG. 1H, the designated portion 160is towards the bottom-right corner of the CGR environment 110. However,in some implementations, the designated portion 160 is towards the leftside of the CGR environment 110, the right side of the CGR environment110, the top portion of the CGR environment 110, the bottom portion ofthe CGR environment 110, or at the center of the CGR environment 110.

Referring to FIG. 1I, in some implementations, the electronic device 100displays CGR representations of multiple articles that are not in thephysical environment 10. In the example of FIG. 1I, the electronicdevice 100 displays a CGR painting 170 that represents a physicalpainting. In some implementations, the electronic device 100 displays anaffordance 172 to add an ID (not shown) identifying the physicalpainting to the user selection queue 150. In some implementations, theelectronic device 100 displays an affordance 180 to concurrently add IDsof multiple physical articles to the user selection queue 150. In theexample of FIG. 1I, in response to detecting an activation of theaffordance 180, the electronic device 100 adds the ID 118 of the couchto the user selection queue 150 and an ID of the physical painting tothe user selection queue 150. As such, a user of the electronic device100 need not separately activate the affordances 120 and 172 therebyreducing a number of user inputs and enhancing the user experience ofthe electronic device 100.

In some implementations, a head-mountable device (HMD) (not shown),being worn by a person, presents (e.g., displays) the CGR environment110 according to various implementations. In some implementations, theHMD includes an integrated display (e.g., a built-in display) thatdisplays the CGR environment 110. In some implementations, the HMDincludes a head-mountable enclosure. In various implementations, thehead-mountable enclosure includes an attachment region to which anotherdevice with a display can be attached. For example, in someimplementations, the electronic device 100 can be attached to thehead-mountable enclosure. In various implementations, the head-mountableenclosure is shaped to form a receptacle for receiving another devicethat includes a display (e.g., the electronic device 100). For example,in some implementations, the electronic device 100 slides/snaps into orotherwise attaches to the head-mountable enclosure. In someimplementations, the display of the device attached to thehead-mountable enclosure presents (e.g., displays) the CGR environment110. In various implementations, examples of the electronic device 100include smartphones, tablets, media players, laptops, etc.

Referring to FIG. 1J, in some implementations, the electronic device 100displays a replacement affordance to replace a CGR object with areplacement CGR object. In the example of FIG. 1J, the electronic device100 displays a first replacement affordance 194 a (e.g., a left arrow)and a second replacement affordance 194 b (e.g., a right arrow) thatallow a user of the electronic device 100 to replace the CGR couch 116with a replacement CGR object (e.g., another CGR couch, for example, adifferent CGR couch that represents a different physical couch).

Referring to FIG. 1K, the electronic device 100 detects a user input 196directed to the second replacement affordance 194 b. As shown in FIG.1L, in response to detecting the user input 196, the electronic device100 replaces the CGR couch 116 with a second CGR couch 198 thatrepresents a second physical couch which is different from the physicalcouch represented by the CGR couch 116 shown in FIG. 1N. In the exampleof FIG. 1L, the affordance 120 is configured to add an ID of the secondphysical couch to the user selection queue 150.

Selecting wearable physical articles via a device is sometimes difficultbecause size charts are often inaccurate and wearable physical articlesoften do not fit the user well. As such, a user often has to return thewearable physical article which results in unnecessary user inputs thatlead to wear-and-tear on the device and/or excessive power usage. Thepresent disclosure provides methods, systems, and/or devices forgenerating a CGR object that represents a wearable physical article, anddisplaying the CGR object as being worn by a CGR representation of theuser. The CGR object is associated with a deformation model whichdefines how the CGR object deforms when the CGR object is worn by theCGR representation of the user.

The deformation model of the CGR object is a function of one or morematerial characteristics of the wearable physical article. For example,the deformation model is a function of a material type, a texture, astiffness, an elasticity, a color, and/or a size of the wearablephysical article. The CGR representation of the user can be generated byscanning the user. For example, by taking pictures of the user anddetermining user dimensions based on photogrammetry. The user dimensionscan also be determined based on depth data captured by a depth camera.The device can obtain the CGR object (e.g., from a manufacturer of thewearable physical article), or generate the CGR object based on thematerial characteristics of the wearable physical article. For example,the device can utilize a size value and material composition informationassociated with the wearable physical article to generate the CGRobject.

FIG. 2A is a block diagram of an example physical environment 20 inaccordance with some implementations. While pertinent features areshown, those of ordinary skill in the art will appreciate from thepresent disclosure that various other features have not been illustratedfor the sake of brevity and so as not to obscure more pertinent aspectsof the example implementations disclosed herein. To that end, as anon-limiting example, the physical environment 20 includes a person 22and an electronic device 200. As shown in FIG. 2A, in someimplementations, the electronic device 200 is held by the person 22. Insome implementations, the electronic device 200 includes a smartphone, atablet, a laptop, or the like.

In the example of FIG. 2A, the electronic device 200 displays a CGRenvironment 210. The CGR environment 210 includes a CGR representation212 of the person 22. In some implementations, the CGR representation212 is proportional to the person 22. For example, a ratio between ahead and a torso of the CGR representation 212 matches a ratio between ahead and a torso of the person 22. In various implementations, theelectronic device 200 generates the CGR representation 212 of the person22 based on a body model of the person 22. In some implementations, theelectronic device 200 captures images of the person 22, generates a bodymodel of the person 22 based on the images, and generates the CGRrepresentation 212 in accordance with the body model. In someimplementations, the electronic device 100 receives a user inputcorresponding to body measurements of the person 22, and the electronicdevice 200 generates the CGR representation 212 based on the bodymeasurements.

In the example of FIG. 2A, the CGR environment 210 includes a CGR objectconfiguration panel 220 (“panel 220”, hereinafter for the sake ofbrevity). The panel 220 includes a two-dimensional (2D) representation222 of a T-shirt (e.g., an image of a T-shirt). In some implementations,the panel 220 includes affordances for selecting a particularconfiguration of the T-shirt represented by the 2D representation 222.In the example of FIG. 2A, the panel 220 includes size affordances 224for selecting a size of the T-shirt, style affordances 226 for selectinga style of the T-shirt, and material affordances 228 for selecting amaterial type of the T-shirt. The size affordances 224 include a smallsize affordance 224 a for selecting a small size of the T-shirt, amedium size affordance 224 b for selecting a medium size of the T-shirt,and a large size affordance 224 c for selecting a large size of theT-shirt. The style affordances 226 includes a slim fit style affordance226 a for selecting a slim fit style of the T-shirt, and a classic fitstyle affordance 226 b for selecting a classic fit style of the T-shirt.The material affordances 228 include a cotton affordance 228 a forselecting a cotton version of the T-shirt, a polyester affordance 228 bfor selecting a polyester version of the T-shirt, a blend affordance 228c for selecting a blended material version of the T-shirt, and a merinowool affordance 228 d for selectin a merino wool version of the T-shirt.

Referring to FIG. 2B, the electronic device 200 detects that the smallsize affordance 224 a, the slim fit style affordance 226 a, and thecotton affordance 228 a have been selected. The electronic device 200generates and displays a CGR T-shirt 230 in association with the CGRrepresentation 212 of the person 22. For example, the electronic device200 displays the CGR T-shirt 230 as being worn by the CGR representation212 of the person 22. In some implementations, the electronic device 200overlays the CGR T-shirt 230 over the CGR representation 212 of theperson 22.

The CGR T-shirt 230 is associated with a deformation model 232. Thedeformation model 232 defines how the CGR T-shirt 230 interfaces withthe CGR representation 212 of the person 22, which is representative ofhow a corresponding physical T-shirt (e.g., a cotton T-shirt that issmall and slim fit) would fit the person 22. In some implementations,the deformation model 232 is a function of the selected affordances 224,226 and 228. For example, the deformation model 232 is a function of thesmall size, the slim fit style and the cotton material of the T-shirt.More generally, in various implementations, the deformation model 232 isa function of one or more material characteristics (e.g., size, materialtype, style, stiffness, elasticity, etc.) of the T-shirt. Thedeformation model 232 defines a deformation of the CGR T-shirt 230 overthe CGR representation 212 of the person 22. The deformation model 232defines how a physical T-shirt represented by the CGR T-shirt 230 wouldfit the person 22.

Since the deformation model 232 characterizes one or more materialcharacteristics of the T-shirt, the CGR T-shirt 230 is within a degreeof similarity of a corresponding physical T-shirt. For example, the CGRT-shirt 230 is within a degree of similarity of a physical T-shirt thatis small, slim fit and made from cotton. As such, a deformation of theCGR T-shirt 230 over the CGR representation 212 of the person 22 iswithin a degree of similarity to a deformation of the correspondingphysical T-shirt over the person 22. For example, a fit of the CGRT-shirt 230 on the CGR representation 212 is within a degree ofsimilarity of a fit of the corresponding physical T-shirt on the person22. In the example of FIG. 2B, putting the CGR T-shirt 230 on the CGRrepresentation 212 results in CGR stretch lines 234. Since thedeformation of the CGR T-shirt 230 on the CGR representation 212 iswithin a degree of similarity to the deformation of the correspondingphysical T-shirt on the person 22, the person 22 wearing thecorresponding physical T-shirt will likely result in physical stretchlines that are similar to the CGR stretch lines 234.

Referring to FIG. 2C, the electronic device 200 detects that the largesize affordance 224 c, the classic fit style affordance 226 b, and theblend affordance 228 c have been selected. In response to detecting theselection of the large size affordance 224 c, the classic fit styleaffordance 226 b, and the blend affordance 228 c, the electronic device200 generates and displays a CGR T-shirt 240 as being worn by the CGRrepresentation 212 of the person 22. The CGR T-shirt 240 is associatedwith a deformation model 242. The deformation model 242 is a function ofthe large size, the classic fit style and the blend material of theT-shirt. The deformation model 242 defines a deformation of the CGRT-shirt 240 over the CGR representation 212 of the person 22. In theexample of FIG. 2C, putting the CGR T-shirt 240 on the CGRrepresentation 212 results in CGR drooping 244 at a neck portion of theCGR T-shirt 240 and CGR drooping 246 towards the bottom of the CGRT-shirt 240. Since the deformation model 242 models a deformation of thecorresponding physical T-shirt on the person 22, the correspondingphysical T-shirt will likely droop at a neck portion of the physicalT-shirt and towards the bottom of the physical T-shirt when the person22 wears the corresponding physical T-shirt.

Referring to FIG. 2D, the electronic device 200 detects that the mediumsize affordance 224 b, the slim fit style affordance 226 a, and themerino wool affordance 228 d have been selected. In response todetecting the selection of the medium size affordance 224 b, the slimfit style affordance 226 a, and the merino wool affordance 228 d, theelectronic device 200 generates and displays a CGR T-shirt 250 as beingworn by the CGR representation 212 of the person 22. The CGR T-shirt 250is associated with a deformation model 252. The deformation model 252 isa function of the medium size, the slim fit style and the merino woolmaterial of the T-shirt. The deformation model 252 defines a deformationof the CGR T-shirt 250 over the CGR representation 212 of the person 22.In the example of FIG. 2D, putting the CGR T-shirt 250 on the CGRrepresentation 212 does not result in stretch lines or drooping. Sincethe deformation model 252 models a deformation of the correspondingphysical T-shirt on the person 22, the corresponding physical T-shirtwill likely not droop or result in stretch lines when the person 22wears the corresponding physical T-shirt. The CGR T-shirt 250 appears tobe a better fit on the CGR representation 212 than the CGR T-shirts 230and 240 shown in FIGS. 2B and 2C, respectively. As such, the physicalT-shirt corresponding to the CGR T-shirt 250 will likely be a better fiton the person 22 than the physical T-shirts corresponding to the CGRT-shirts 230 and 240.

FIG. 2E illustrates a graphical user interface (GUI) 260 that allows theperson 22 to search for wearable physical articles based on a body model270 of the person 22. In some implementations, the GUI 260 allows theperson 22 to generate the body model 270. In the example of FIG. 2E, theGUI 260 includes an affordance 262 that, when activated, triggerscapturing of images of the person 22. In some implementations, the GUI260 includes an upload image affordance 264 for uploading images (e.g.,images of the person 22). In some implementations, the electronic device200 generates the body model 270 based on the captured images and/or theuploaded images. In some implementations, the electronic device 200utilizes methods, devices and/or systems associated with photogrammetryto extract dimensions of the person 22 from the captured images and/orthe uploaded images, and the electronic device 200 generates the bodymodel 270 based on the dimensions of the person 22.

In some implementations, the GUI 260 includes a measurement affordance266 that allows the person 22 to enter body measurements (e.g., bodydimensions of the person 22 such as a waist size, arm size, thigh size,arm size, etc.). In such implementations, the electronic device 200generates the body model 270 based on the body measurements obtained bythe electronic device 200. In some implementations, the GUI 260 includesan upload model affordance 268 that, when activated, allows the person22 to upload the body model 270. In the example of FIG. 2E, the GUI 260includes a search affordance 272 that, when activated, triggers a searchfor wearable physical articles based on the body model 270.

In some implementations, the CGR environment 210 concurrently displaysCGR objects representing multiple wearable physical articles inassociation with the CGR representation 212 of the person 22. Forexample, the CGR environment 210 concurrently displays the CGRrepresentation 212 wearing multiple CGR objects representing respectivewearable physical articles. Referring to FIG. 2F, the panel 220 displaysa 2D representation 278 of a physical pair of shorts. The CGRenvironment 210 displays a pair of CGR shorts 280, that represents thephysical pair of shorts, as being worn by the CGR representation 212 ofthe person 22. The pair of CGR shorts 280 is associated with adeformation model 282 that models the deformation of the correspondingphysical pair of shorts on the person 22.

Referring to FIG. 2G, in some implementations, the CGR environment 210includes an affordance 290 to add an identifier identifying the physicalT-shirt represented by the CGR shirt 250 to a user selection queue(e.g., the user selection queue 150 shown in FIG. 1C). In someimplementations, the electronic device 200 detects an activation of theaffordance 290, and adds the identifier to the user selection queue.

In some implementations, a head-mountable device (HMD) (not shown),being worn by the person 22, presents (e.g., displays) the CGRenvironment 210 according to various implementations. In someimplementations, the HMD includes an integrated display (e.g., abuilt-in display) that displays the CGR environment 210. In someimplementations, the HMD includes a head-mountable enclosure. In variousimplementations, the head-mountable enclosure includes an attachmentregion to which another device with a display can be attached. Forexample, in some implementations, the electronic device 200 can beattached to the head-mountable enclosure. In various implementations,the head-mountable enclosure is shaped to form a receptacle forreceiving another device that includes a display (e.g., the electronicdevice 200). For example, in some implementations, the electronic device200 slides/snaps into or otherwise attaches to the head-mountableenclosure. In some implementations, the display of the device attachedto the head-mountable enclosure presents (e.g., displays) the CGRenvironment 210. In various implementations, examples of the electronicdevice 200 include smartphones, tablets, media players, laptops, etc.

Adding identifiers of physical articles from different sources torespective user selection queues often requires a sequence of userinputs which detracts from the user experience. For example, the usermay have to navigate to a web page for each source and add identifiersof physical articles provided by that source to a source-specific userselection queue. Excessive user inputs contribute to unnecessarywear-and-tear and unnecessary battery usage on a device. The presentdisclosure provides methods, systems, and/or devices for allowing a userto view CGR objects representing physical articles provided by differentsources and adding identifiers identifying some or all of the physicalarticles to source-specific user selection queues. The presentdisclosure provides methods, systems, and/or devices that reduce theneed to navigate to different pages corresponding to each source. Assuch, the present disclosure provides an enhanced user experience,reduces wear-and-tear on the device, and/or reduces power consumption byreducing unnecessary user inputs.

A device concurrently displays CGR objects representing physicalarticles from different sources. The device allows the user to providean input selecting some or all of the CGR objects. The device addsidentifiers of the physical articles corresponding to the selected CGRobjects to source-specific user selection queues. For example, if theuser selects physical articles that are provided by five differentsources, then the device populates five source-specific user selectionqueues that correspond to the five sources.

FIG. 3A is a block diagram of an example environment in accordance withsome implementations. While pertinent features are shown, those ofordinary skill in the art will appreciate from the present disclosurethat various other features have not been illustrated for the sake ofbrevity and so as not to obscure more pertinent aspects of the exampleimplementations disclosed herein. To that end, as a non-limitingexample, the environment includes an electronic device 300. In someimplementations, the electronic device 300 is held by a person (notshown). In some implementations, the electronic device 300 includes asmartphone, a tablet, a laptop, or the like.

In some implementations, the electronic device 300 presents a CGRenvironment 310. In the example of FIG. 3A, the CGR environment 310includes a first CGR lamp 312, a second CGR lamp 314, a CGR couch 316, aCGR painting 318, and a CGR coffee table 320. In some implementations,the CGR environment 310 represents a physical environment, and some ofthe CGR objects in the CGR environment 310 represent physical articlesthat are in the physical environment. For example, the first CGR lamp312 represents a first physical lamp in the physical environment, andthe second CGR lamp 314 represents a second physical lamp in thephysical environment.

In some implementations, some of the CGR objects in the CGR environment310 represent physical articles that are not in the physical environmentthat the CGR environment 310 represents. For example, the CGR couch 316represents a physical couch that is not in the physical environmentcorresponding to the CGR environment 310. Similarly, the CGR painting318 represents a physical painting that is not in the correspondingphysical environment. The CGR coffee table 320 represents a physicalcoffee table that is not in the corresponding physical environment.

In some implementations, some of the CGR objects in the CGR environment310 represent physical articles that are available from a source (e.g.,from a store such as a physical store or an online store). In theexample of FIG. 3A, the CGR couch 316 represents a physical couch thatis available from a first source 330 (e.g., from Ron's Furniture Store).The CGR painting 318 represents a physical painting that is availablefrom a second source 340 (e.g., from Jacob's art gallery). The CGRcoffee table 320 represents a physical coffee table that is availablefrom the first source 330.

In some implementations, the physical articles represented by the CGRobjects are associated with respective identifiers (IDs) that identifythe physical articles. For example, the physical couch represented bythe CGR couch 316 is associated with a couch ID 317 that identifies thephysical couch. In some implementations, the physical paintingrepresented by the CGR painting 318 is associated with a painting ID 319that identifies the physical painting. In some implementations, thephysical coffee table represented by the CGR coffee table 320 isassociated with a coffee table ID 321 that identifies the physicalcoffee table. In some implementations, the IDs include serial numbers,barcode numbers, item numbers, model numbers, product numbers,manufacturer codes, and/or machine-readable representations of data(e.g., optical machine-readable representations of data such as barcodesor QR codes).

The first source 330 is associated with a first user selection queue332, and the second source 340 is associated with a second userselection queue 342 that is different from the first user selectionqueue 332. More generally, in various implementations, each source isassociated with a respective user selection queue. When the electronicdevice 300 detects a selection of a particular CGR object thatrepresents a particular physical article from a particular source, theelectronic device 300 adds an identifier (ID) identifying thatparticular physical article to a source-specific user selection queuethat is associated with the particular source.

Referring to FIG. 3B, the electronic device 300 detects a user input 350at a location corresponding to the CGR couch 316. In someimplementations, the user input 350 corresponds to a request toassociate the physical couch represented by the CGR couch 316 with thefirst user selection queue 332. For example, in some implementations,the user input 350 corresponds to a request to add the couch ID 317identifying the physical couch represented by the CGR couch 316 to thefirst user selection queue 332.

As shown in FIG. 3C, in some implementations, the electronic device 300adds the couch ID 317 to the first user selection queue 332 in responseto detecting the user input 350. In some implementations, the electronicdevice 300 displays a notification 352 in response to adding the couchID 317 to the first user selection queue 332. In some implementations,the notification 352 includes text 354 indicating that the electronicdevice 300 has added the couch ID 317 to the first user selection queue332. In some implementations, the notification 352 includes a firstqueue affordance 356 that, when activated, triggers the display of avisual representation of the first user selection queue 332. In someimplementations, the notification 352 includes a return affordance 358that, when activated, causes the electronic device 300 to re-display theCGR environment 310.

Referring to FIG. 3D, the electronic device 300 detects a user input 360directed to the return affordance 358. As shown in FIG. 3E, in responseto detecting the user input 360, the electronic device 300 re-displaysthe CGR environment 310. In some implementations, the electronic device300 modifies a visual property of the CGR couch 316 in order to indicatethat the couch ID 317 has been added to the first user selection queue332. In the example of FIG. 3E, the electronic device 300 has displayedthe CGR couch 316 with a shading effect. More generally, in someimplementations, the electronic device 300 changes a visual property ofa CGR object in order to indicate that an ID of the correspondingphysical article has been added to a source-specific user selectionqueue.

In the example of FIG. 3E, the electronic device 300 displays anin-queue indicium 362 (e.g., a checkmark) to indicate that the CGR couch316 has been selected and/or to indicate that an ID identifying thecorresponding physical couch has been added to a user selection queue.In some implementations, the electronic device 300 displays text 364 toindicate that the couch ID 317 has been added to the first userselection queue 332. In some implementations, the electronic device 300displays a remove affordance 366 that, when activated, removes the couchID 317 from the first user selection queue 332.

Referring to FIG. 3F, the electronic device 300 detects a user input 370at a location corresponding to the CGR painting 318. In someimplementations, the user input 370 corresponds to a request toassociate the physical painting represented by the CGR painting 318 withthe second user selection queue 342. For example, in someimplementations, the user input 370 corresponds to a request to add thepainting ID 319 identifying the physical painting represented by the CGRpainting 318 to the second user selection queue 342.

As shown in FIG. 3G, in some implementations, the electronic device 300adds the painting ID 319 to the second user selection queue 342 inresponse to detecting the user input 370. In some implementations, theelectronic device 300 displays a notification 372 in response to addingthe painting ID 319 to the second user selection queue 342. In someimplementations, the notification 372 includes text 374 indicating thatthe electronic device 300 has added the painting ID 319 to the seconduser selection queue 342. In some implementations, the notification 372includes a second queue affordance 376 that, when activated, triggersthe display of a visual representation of the second user selectionqueue 342. In some implementations, the notification 372 includes areturn affordance 378 that, when activated, causes the electronic device300 to re-display that CGR experience 310. In some implementations, thenotification 372 includes a multiple queue affordance 378 (e.g., an allqueues affordance) that, when activated, triggers the display of visualrepresentations of multiple user selection queues (e.g., visualrepresentations of all user selection queues, for example, a visualrepresentation of the first user selection queue 332 and a visualrepresentation of the second user selection queue 342). The notification372 includes a return affordance 380 that, when activated, causes theelectronic device 300 to re-display the CGR environment 310.

Referring to FIG. 3H, the electronic device 300 detects a user input 382directed to the return affordance 380. As shown in FIG. 3I, in responseto detecting the user input 382, the electronic device 300 displays afirst visual representation 332R of the first user selection queue 332,and a second visual representation 342R of the second user selectionqueue 342. The first visual representation 332R includes a 2Drepresentation 333 of the physical couch, a description 334 of thecouch, a first delete affordance 335 to remove the couch ID 317 from thefirst user selection queue 332, a first modify affordance 336 to modifya quantity of the couch, and a first confirm affordance 337 to confirmthe first user selection queue 332. The second visual representation342R includes a 2D representation 343 of the physical painting, adescription 344 of the painting, a second delete affordance 345 toremove the painting ID 319 from the second user selection queue 342, asecond modify affordance 346 to modify a quantity of the painting, and asecond confirm affordance 347 to confirm the second user selection queue342. In some implementations, the electronic device 300 displays a thirdconfirm affordance 384 that, when activated, concurrently confirms thefirst user selection queue 332 and the second user selection queue 342.

In some implementations, detecting an activation of the first confirmaffordance 337 triggers a placement of the physical couch in thephysical environment surrounding the electronic device 300. For example,in some implementations, in response to detecting an activation of thefirst confirm affordance 337, the electronic device 300 transmits amessage to a device associated with the first source 330. In someimplementations, the message includes a request to deliver the physicalcouch to the physical environment surrounding the electronic device 300.

In some implementations, a head-mountable device (HMD) (not shown),being worn by a person, presents (e.g., displays) the CGR environment310 according to various implementations. In some implementations, theHMD includes an integrated display (e.g., a built-in display) thatdisplays the CGR environment 310. In some implementations, the HMDincludes a head-mountable enclosure. In various implementations, thehead-mountable enclosure includes an attachment region to which anotherdevice with a display can be attached. For example, in someimplementations, the electronic device 300 can be attached to thehead-mountable enclosure. In various implementations, the head-mountableenclosure is shaped to form a receptacle for receiving another devicethat includes a display (e.g., the electronic device 300). For example,in some implementations, the electronic device 300 slides/snaps into orotherwise attaches to the head-mountable enclosure. In someimplementations, the display of the device attached to thehead-mountable enclosure presents (e.g., displays) the CGR environment310. In various implementations, examples of the electronic device 300include smartphones, tablets, media players, laptops, etc.

In some scenarios, a person may want to see how a physical article looksin a physical environment of the person. Some devices generate andpresent a CGR environment that resembles the physical environment of theperson, and place a CGR object that represents a new physical articlethereby allowing the person to see how the new physical article wouldlook in the physical environment. However, if the physical environmentis too cluttered then the corresponding CGR environment is similarlycluttered. Hence, there may be no space in the CGR environment to placethe CGR object representing the new physical article. The presentdisclosure provides methods, devices and/or systems for masking physicalarticles that are in a physical environment in order to make space for aCGR object that represents a new physical article. The device detects aphysical surface, detects that there are physical articles occludingportions of the physical surface, and composites a masking element inorder to mask the physical articles and make space for a new CGR object.

FIG. 4A is a block diagram of an example physical environment 40 inaccordance with some implementations. While pertinent features areshown, those of ordinary skill in the art will appreciate from thepresent disclosure that various other features have not been illustratedfor the sake of brevity and so as not to obscure more pertinent aspectsof the example implementations disclosed herein. To that end, as anon-limiting example, the physical environment 40 includes a physicalsurface 42. In some implementations, the physical surface 42 representsa top surface of a physical table. In some implementations, the physicalsurface 42 represents a floor.

In some implementations, the physical surface 42 is associated with avisual property 43. In some implementations, the visual property 43indicates a materialistic property of the physical surface 42. Forexample, in some implementations, the visual property 43 indicates acolor of the physical surface 42. In some implementations, the visualproperty 43 indicates a material type of the physical surface 42. Insome implementations, the visual property 43 indicates a texture of thephysical surface 42. In some implementations, the visual property 43indicates a reflectiveness of the physical surface 42.

In the example of FIG. 4A, there are physical articles that areoccluding respective portions of the physical surface 42. For example, afirst physical article 44 (e.g., a package), a second physical article46 (e.g., a box) and a third physical article 48 (e.g., a speaker) areplaced on the physical surface 42. As can be seen in FIG. 4A, the firstphysical articles 44, 46 and 48 are occluding (e.g., covering) asignificant portion of the physical surface 42 (e.g., a majority of thephysical surface 42).

Referring to FIG. 4B, in some implementations, an electronic device 400presents (e.g., displays) a CGR environment 410 that corresponds to(e.g., represents) the physical environment 40. The CGR environment 410includes a CGR surface 412 that represents the physical surface 42. TheCGR surface 412 is associated with a visual property 413 that is withina degree of similarity to the visual property 43 of the physicalsurface. For example, In some implementations, the CGR surface 412 hasthe same materialistic property as the physical surface 42. For example,the CGR surface 412 has the same color, uses the same material type, hasthe same texture, and/or has the same texture as the physical surface42.

In the example of FIG. 4B, the CGR environment 410 includes a first CGRobject 414 that represents the first physical article 44, a second CGRobject 416 that represents the second physical article 46, and a thirdCGR object 418 that represents the third physical article 48. As can beseen in FIG. 4B, the CGR objects 414, 416 and 418 occupy a significantportion of the CGR surface 412. As such, there is not much space on theCGR surface 412 to place an additional CGR object. In someimplementations, the electronic device 400 is held by a person (notshown). In some implementations, the electronic device 400 includes asmartphone, a tablet, a laptop, or the like.

In some implementations, the CGR environment 410 is a pass-through ofthe physical environment 40. For example, in some implementations, theCGR environment 410 is a video pass-through of the physical environment40. In some implementations, the CGR environment 410 is an opticalpass-through of the physical environment 40. In such implementations,the CGR surface 412 and CGR objects 414, 416 and 418 are the same as thephysical surface 42 and physical articles 44, 46 and 48, respectively.

Referring to FIG. 4C, in some implementations, the electronic device 400composites a masking element 422 in order to mask the physical articles44, 46 and 48 that are located on the physical surface 42. In someimplementations, the electronic device 400 composites the maskingelement 422 in order to mask the CGR objects 414, 416 and 418 that areon the CGR surface 412. As can be seen in FIG. 4C, in someimplementations, compositing the masking element 422 provides anappearance that there are no CGR objects on the CGR surface 412. Sincethe CGR surface 412 represents the physical surface 42, compositing themasking element 422 provides an appearance that there are no physicalarticles on the physical surface 42. As such, compositing the maskingelement 422 provides an appearance of decluttering the physical surface42 without requiring an operator (e.g., a person or a robot) tophysically remove the physical articles 44, 46 and 48 from the physicalsurface 42.

Referring to FIG. 4D, in some implementations, the masking element 422is associated with a visual property 423. In some implementations, thevisual property 423 of the masking element 422 is within a degree ofsimilarity to the visual property 413 of the CGR surface 412. Since thevisual property 413 of the CGR surface 412 is within a degree ofsimilarity to the visual property 43 of the physical surface, in someimplementations, the visual property 423 of the masking element 422 iswithin a degree of similarity to the visual property 43 of the physicalsurface 42. As such, in some implementations, the masking element 422has the same color, material type, texture and/or reflectiveness as thephysical surface 42. Matching the visual property 423 of the maskingelement 422 with the visual property 43 of the physical surface 42provides an appearance that there are no physical articles on thephysical surface 42.

FIG. 4E illustrates another masking element 422 a that is associatedwith a visual property 423 a. In the example of FIG. 4E, the visualproperty 423 a of the masking element 422 a is different (e.g.,noticeably different) from the visual property 413 of the CGR surface412. Since the visual property 413 of the CGR surface 412 is within adegree of similarity to the visual property 43 of the physical surface42, in some implementations, the visual property 423 a of the maskingelement 422 a is not within a degree of similarity to the visualproperty 43 of the physical surface 42. As such, in someimplementations, the masking element 422 a has a different color,material type, texture and/or reflectiveness than the physical surface42.

Referring to FIG. 4F, in some implementations, the electronic device 400composites multiple masking elements. In some implementations, eachmasking element masks a respective one of the physical articles. In someimplementations, each masking element conforms to a shape of thephysical article that the masking element masks. In someimplementations, each masking element masks a respective one of the CGRobjects. In some implementations, each masking element conforms to ashape of the CGR object that the masking element conforms. In theexample of FIG. 4F, the electronic device 400 generates a first maskingelement 424 in order to mask the first CGR object 414 representing thefirst physical article 44, a second masking element 426 in order to maskthe second CGR object 416 representing the second physical article 46,and a third masking element 428 in order to mask the third CGR object418 representing the third physical article 48. In some implementations,the first masking element 424 conforms to a shape of the first CGRobject 414 and/or the first physical article 44. In someimplementations, the second masking element 426 conforms to a shape ofthe second CGR object 416 and/or the second physical article 46. In someimplementations, the third masking element 428 conforms to a shape ofthe third CGR object 418 and/or the third physical article 48.

Referring to FIG. 4G, in some implementations, the electronic device 400displays a CGR object store 430. The CGR object store 430 includes CGRobjects that represent physical articles. In the example of FIG. 4G, theCGR object store 430 includes a fourth CGR object 440 (e.g., a CGR tablelamp) that represents a fourth physical article (e.g., a physical tablelamp). As shown in FIG. 4H, in some implementations, the electronicdevice 400 detects a user input 442 that corresponds to a request toplace the fourth CGR object 440 on the CGR surface 412. In someimplementations, the user input 442 includes a drag gesture that beginsat the fourth CGR object 440 and ends at the CGR surface 412.

As shown in FIG. 4I, in some implementations, the electronic device 400composites the masking element 422 in response to detecting the userinput 442. The electronic device 400 overlays the fourth CGR object 440onto the masking element 422 in order to provide an appearance that thefourth CGR object 440 is placed on the CGR surface 412. In the exampleof FIG. 4I, the CGR object store 430 displays a fifth CGR object 444.

Referring to FIG. 4J, in some implementations, the electronic device 400displays a web page 450 that corresponds to the fourth physical article(e.g., the physical table lamp). In some implementations, the web page450 includes a 2D representation 452 of the fourth physical article(e.g., an image of the fourth physical article), a description 454 ofthe fourth physical article, and an affordance 456 that, when activated,causes the electronic device 400 to display the fourth CGR object 440representing the fourth physical article. As shown in FIG. 4K, theelectronic device 400 detects a user input 458 directed to theaffordance 456. As shown in FIG. 4L, in response to detecting the userinput 458, the electronic device 400 composites the masking element 422and displays the fourth CGR object 440 on top of the masking element422.

Referring to FIG. 4M, in some implementations, the electronic device 400displays a clear affordance 460 that, when activated, causes theelectronic device 400 to composite a masking element onto the CGRsurface 412 in order to mask the CGR objects 414, 416 and 418 that areon the CGR surface 412. As shown in FIG. 4N, the electronic device 400detects a user input 462 directed to the clear affordance 460. As shownin FIG. 4O, in response to detecting the user input 462, the electronicdevice 400 composites the masking element 422 on the CGR surface 412. Insome implementations, the electronic device 400 displays a removeaffordance 464 that, when activated, causes the electronic device 400 toremove the masking element 422 and re-display the CGR objects 414, 416and 418 on the CGR surface 412.

In some implementations, a head-mountable device (HMD) (not shown),being worn by a person, presents (e.g., displays) the CGR environment410 according to various implementations. In some implementations, theHMD includes an integrated display (e.g., a built-in display) thatdisplays the CGR environment 410. In some implementations, the HMDincludes a head-mountable enclosure. In various implementations, thehead-mountable enclosure includes an attachment region to which anotherdevice with a display can be attached. For example, in someimplementations, the electronic device 400 can be attached to thehead-mountable enclosure. In various implementations, the head-mountableenclosure is shaped to form a receptacle for receiving another devicethat includes a display (e.g., the electronic device 400). For example,in some implementations, the electronic device 400 slides/snaps into orotherwise attaches to the head-mountable enclosure. In someimplementations, the display of the device attached to thehead-mountable enclosure presents (e.g., displays) the CGR environment410. In various implementations, examples of the electronic device 400include smartphones, tablets, media players, laptops, etc.

FIG. 5A is a flowchart representation of a method 500 of controlling auser selection queue. In various implementations, the method 500 isperformed by a device with a display, a non-transitory memory and one ormore processors coupled with the display and the non-transitory memory(e.g., the electronic device 100 shown in FIGS. 1A-1L). In someimplementations, the method 500 is performed by processing logic,including hardware, firmware, software, or a combination thereof. Insome implementations, the method 500 is performed by a processorexecuting code stored in a non-transitory computer-readable medium(e.g., a memory).

As represented by block 510, in various implementations, the method 500includes displaying a computer-generated reality (CGR) object in a CGRenvironment. In some implementations, the CGR object represents aphysical article. For example, as shown in FIG. 1C, the electronicdevice 100 displays the CGR couch 116 in the CGR environment 110. Asdescribed in relation to FIG. 1C, the CGR couch 116 represents aphysical couch (e.g., the couch represented by the 2D representation 104shown in FIG. 1A).

As represented by block 520, in various implementations, the method 500includes compositing an affordance in association with the CGR object.For example, as shown in FIG. 1C, the electronic device 100 compositesthe affordance 120 in association with the CGR couch 116. In someimplementations, the method 500 includes displaying the affordanceadjacent to the CGR object. For example, as shown in FIG. 1C, theelectronic device 100 displays the affordance 120 adjacent to the CGRcouch 116.

As represented by block 530, in various implementations, the method 500includes detecting an input directed to the affordance. For example, asshown in FIG. 1D, the electronic device 100 detects the user input 130directed to the affordance 120. In some implementations, the method 500includes detecting a contact at a location corresponding to theaffordance.

As represented by block 540, in various implementations, the method 500includes, in response to detecting the input, adding an identifieridentifying the physical article to a user selection queue. For example,as shown in FIGS. 1D-1E, the electronic device 100 adds the identifier118 of the couch to the user selection queue 150 in response todetecting the user input 130. In some implementations, the method 500includes writing the identifier identifying the physical article to theuser selection queue. In some implementations, the method 500 includesassociating the identifier identifying the physical article with theuser selection queue. In various implementations, adding the identifierof the physical article to the user selection queue while the device isdisplaying the CGR object representing the physical articles reduces aneed to manually navigate to a web page corresponding to the physicalarticle in order to add the identifier identifying the physical articleto the user selection queue.

Referring to FIG. 5B, as represented by block 510 a, in someimplementations, the CGR environment includes representations ofphysical articles that are located in a physical environment surroundingthe device. For example, as shown in FIG. 1C, the CGR environment 110includes the first CGR floor lamp 112 representing the first floor lamp12 in the physical environment 10 surrounding the electronic device 100,and the second CGR floor lamp 114 representing the second floor lamp 14in the physical environment 10 surrounding the electronic device 100.

As represented by block 510 b, in some implementations, the methodincludes displaying a web page that includes a two-dimensional (2D)representation of the physical article, and obtaining an input to switchfrom the web page to a CGR mode in which the CGR object representing thephysical article is displayed. For example, as shown in FIG. 1A, theelectronic device 100 displays the web page 102 that includes the 2Drepresentation 104 of the couch. Moreover, as shown in FIG. 1B, theelectronic device 100 detects the user input 108 directed to theaffordance 106 corresponding to a request to switch to a CGR mode inwhich the CGR couch 116 representing the couch is displayed.

As represented by block 520 a, in some implementations, compositing theaffordance includes compositing the affordance within a thresholddistance of the CGR object. For example, as shown in FIG. 1C, theelectronic device 100 composites the affordance 120 adjacent to orproximate to the CGR couch 116. In some implementations, the method 500include obtaining the threshold distance.

As represented by block 520 b, in some implementations, the method 500includes compositing the affordance at a designated portion of the CGRenvironment. For example, as shown in FIG. 1H, the electronic device 100composites the affordance 120 at the designated portion 160. In someimplementations, the method 500 includes selecting the designatedportion. For example, as shown in FIG. 1H, the electronic device 100selects the bottom-right corner of the CGR environment 110 as thedesignated portion 160.

As represented by block 520 c, in some implementations, the method 500includes configuring the affordance. As represented by block 520 d, insome implementations, the method 500 includes changing a visualattribute of the affordance. For example, in some implementations, themethod 500 includes changing a text string displayed by the affordance.In some implementations, the method 500 includes replacing a defaulttext of the affordance with a replacement string. In someimplementations, the replacement string is a function of the physicalarticle that the CGR object represents (e.g., changing “Add to Queue” to“Add couch to Queue”).

As represented by block 520 e, in some implementations, the method 500includes changing an operation associated with the affordance. In someimplementations, the method 500 includes changing the operation toadding the identifier to the user selection queue and confirming theuser selection queue. In some implementations, the method 500 includeschanging the operation to adding the identifier to a list of favorites.In some implementations, the method 500 includes changing the operationto saving the identifier. In some implementations, the method 500includes bookmarking the web page associated with the physical articlerepresented by the CGR object. In some implementations, the method 500includes sharing the identifier with another device (e.g., with anotherdevice associated with a contact in a contacts application of thedevice).

As represented by block 520 f, in some implementations, the method 500includes constraining a network connectivity of the device while theaffordance is displayed. In some implementations, the method 500includes preventing malicious code from executing on the device whilethe affordance is displayed. In some implementations, constraining thenetwork connectivity prevents malicious code from executing on thedevice. In some implementations, the method 500 includes turning off atransceiver (e.g., a radio) of the device while the affordance isdisplayed. In some implementations, the method 500 includes switchingthe device from a communicating mode to a non-communicating mode (e.g.,to an airplane mode) while the affordance is displayed.

As represented by block 520 g, in some implementations, the method 500includes determining whether the CGR object occupies at least athreshold number of pixels, and compositing the affordance in responseto determining that the CGR object occupies at least the thresholdnumber of pixels. In some implementations, the method 500 includesdetermining whether the CGR object occupies at least a threshold portionof the CGR environment, and compositing the affordance in response todetermining that the CGR object occupies at least the threshold portionof the CGR environment.

As represented by block 530 a, in some implementations, the inputdirected to the affordance includes a user selection of the affordance.For example, as shown in FIG. 1D, the electronic device 100 detects theuser input 130 directed to the affordance 120. As represented by block530 b, in some implementations, the input directed to the affordanceincludes a gaze input directed to the affordance. For example, in someimplementations, the electronic device 100 utilizes eye tracking todetect the gaze input. As represented by block 530 c, in someimplementations, the input directed to the affordance includes a verbalinput. For example, in some implementations, the electronic device 100detects speech, via a microphone, that corresponds to an input toactivate the affordance.

Referring to FIG. 5C, as represented by block 540, in someimplementations, the method 500 includes modifying a visual property ofthe CGR object in order to indicate that the CGR object is selectable.For example, in some implementations, the method 500 includes displayingthe CGR object with a raised appearance in order to indicate that theCGR object can be depressed. In some implementations, the method 500includes displaying text adjacent to or overlapping with the CGR objectindicating the selectability of the CGR object.

As represented by block 550, in some implementations, the method 500includes detecting an input directed to the CGR object, and manipulatingthe CGR object in accordance with the input directed to the CGR object.For example, in some implementations, the electronic device 100 changesa size of the CGR object in response to detecting a pinch gesture at alocation corresponding to the CGR object. In some implementations, theelectronic device 100 moves the CGR object in response to detecting adrag gesture or a swipe gesture at a location corresponding to the CGRobject.

As represented by block 560, in some implementations, the method 500includes while displaying the CGR object in the CGR environment,displaying a second CGR object that represents a second physicalarticle. In some implementations, the method 500 includes adding anidentifier identifying the second physical article to the user selectionqueue in response to detecting the input directed to the affordance. Insome implementations, the affordance is associated with the CGR objectand the second CGR object. For example, as shown in FIG. 1I, theelectronic device 100 displays the CGR painting 170 in addition to theCGR couch 116.

As represented by block 560 a, in some implementations, the method 500includes identifying, by a recommendation engine, the second physicalarticle based on the physical article. For example, a recommendationengine identifies the painting represented by the CGR painting 170 inresponse to the electronic device 100 displaying the CGR couch 116.

As represented by block 570, in some implementations, the method 500includes displaying a replacement affordance in association with the CGRobject. In some implementations, the replacement affordance allows theCGR object to be replaced with a third CGR object representing a thirdphysical article. For example, as shown in FIG. 1J, the electronicdevice 100 displays the second replacement affordance 194 b. In someimplementations, the method 500 includes detecting an input directed tothe replacement affordance. For example, as shown in FIG. 1K, theelectronic device 100 detects the user input 196 directed to the secondreplacement affordance 194 b. In some implementations, the method 500includes, in response to detecting the input directed to the replacementaffordance, replacing the CGR object with the third CGR object. Forexample, as shown in FIG. 1L, the electronic device 100 displays thesecond CGR couch 198 in response to detecting the user input 196.

FIG. 6A is a flowchart representation of a method 600 of displaying aCGR object that represents a wearable physical article. In variousimplementations, the method 600 is performed by a device with a display,a non-transitory memory and one or more processors coupled with thedisplay and the non-transitory memory (e.g., the electronic device 200shown in FIGS. 2A-2G). In some implementations, the method 600 isperformed by processing logic, including hardware, firmware, software,or a combination thereof. In some implementations, the method 600 isperformed by a processor executing code stored in a non-transitorycomputer-readable medium (e.g., a memory).

As represented by block 610, in various implementations, the method 600includes obtaining a computer-generated reality (CGR) representation ofa person. In some implementations, at least a portion of the CGRrepresentation is proportional to a corresponding portion of the person.For example, as shown in FIG. 2A, the electronic device 200 obtains(e.g., generates) and presents the CGR representation 212 of the person22. As described in relation to FIG. 2A, in some implementations, theCGR representation 212 is proportional to the person 22.

As represented by block 620, in various implementations, the method 600includes obtaining a CGR object that represents a wearable physicalarticle. In some implementations, the CGR object is associated with adeformation model characterizing one or more material characteristics ofthe wearable physical article. For example, as shown in FIG. 2B, theelectronic device 200 obtains (e.g., generates or receives) and presentsthe CGR T-shirt 230 that represents a physical T-shirt that is small insize, is slim fit in style and is made of cotton. As shown in FIG. 2B,the CGR T-shirt 230 is associated with the deformation model 232 thatcharacterizes the material characteristics of the physical T-shirt(e.g., small size, slim fit style and cotton material composition).

As represented by block 630, in various implementations, the method 600includes displaying the CGR object in association with the CGRrepresentation of the person. In some implementations, the CGR objectinterfaces with the CGR representation of the person in accordance withthe deformation model. For example, as shown in FIG. 2B, the electronicdevice 200 displays the CGR T-shirt 230 as being worn by the CGRrepresentation 212 of the person 22. As shown in FIG. 2B, the CGRT-shirt 230 deforms over the CGR representation 212 in accordance withthe deformation model 232. For example, the CGR T-shirt 230 deforms toform the CGR stretch lines 234. As described herein, since thedeformation model models a deformation of the wearable physical articleover the person, displaying the CGR object in association with the CGRrepresentation of the person allows the person to see how the wearablephysical article would fit the person thereby enhancing a userexperience of the device.

Referring to FIG. 6B, as represented by block 610 a, in someimplementations, the method 600 includes obtaining a body model of theperson, and generating the CGR representation of the person based on thebody model of the person. For example, as shown in FIG. 2E, in someimplementations, the electronic device 200 obtains (e.g., generates orreceives) the body model 270 for the person 22, and the electronicdevice 200 generates (e.g., synthesizes) the CGR representation 212 ofthe person 22 based on the body model 270.

As represented by block 610 b, in some implementations, the method 600includes obtaining physical dimensions of the person, and generating thebody model based on the physical dimensions of the person. For example,as shown in FIG. 2E, in some implementations, the electronic device 200displays the GUI 260 with the measurement affordance 266. In someimplementations, in response to detecting an activation of themeasurement affordance 266, the electronic device 200 displays userinterface elements (e.g., text boxes, drop-downs, etc.) that allow theperson 22 to enter physical dimensions. In some implementations, theelectronic device 200 generates the body model 270 based on the physicaldimensions, and the electronic device 200 generates the CGRrepresentation 212 based on the body model 270.

As represented by block 610 c, in some implementations, the method 600includes capturing one or more images of the person, and generating theCGR representation of the person based on the one or more images of theperson. For example, as shown in FIG. 2E, in some implementations, theelectronic device 200 displays the affordance 262 that, when activated,triggers the capturing of pictures. In some implementations, theelectronic device 200 utilizes the captured pictures to generate the CGRrepresentation 212 of the person 22. In some implementations, the method600 includes utilizing methods, devices and/or systems associated withphotogrammetry to extract physical dimensions of the person 22 from thecaptured photos, and generating the body model 270 and/or the CGRrepresentation 212 based on the extracted physical dimensions.

As represented by block 610 d, in some implementations, the method 600includes obtaining depth data associated with the person, and generatingthe CGR representation of the person based on the depth data. In someimplementations, the method 600 includes capturing the depth data from adepth sensor (e.g., a depth camera) of the device. In someimplementations, the method 600 includes determining physical dimensionsof the person based on the depth data, and generating the body modeland/or the CGR representation of the person based on the physicaldimensions.

As represented by block 620 a, in some implementations, the method 600includes generating the deformation model for the CGR object based onthe one or more material characteristics of the wearable physicalarticle. For example, as shown in FIG. 2B, the electronic device 200generates the deformation model 232 for the CGR T-shirt 230 based on thematerial characteristics of the physical T-shirt (e.g., small size, slimfit style and/or cotton composition).

As represented by block 620 b, in some implementations, the method 600includes generating the deformation model for the CGR object based on amaterial type of the wearable physical article. For example, as shown inFIG. 2B, the electronic device 200 generates the deformation model 232for the CGR T-shirt 230 based on the cotton composition of the physicalT-shirt.

As represented by block 620 c, in some implementations, the method 600includes generating the deformation model for the CGR object based on atexture of the wearable physical article. In some implementations, thetexture is a function of the material type. As such, in someimplementations, generating the deformation model based on the materialtype of the wearable physical article includes generating thedeformation model based on the texture of the wearable physical article.

As represented by block 620 d, in some implementations, the method 600includes generating the deformation model for the CGR object based on astiffness of the wearable physical article. In some implementations, thestiffness is a function of the material type and/or the style of thewearable physical article. As such, in some implementations, generatingthe deformation model based on the material type and/or the style of thewearable physical article includes generating the deformation modelbased on the stiffness of the wearable physical article. In someimplementations, the method 600 includes obtaining a stiffness value andgenerating the deformation model based on the stiffness value. In someimplementations, the stiffness value is related to an amount of starchthat is applied to the wearable physical article.

As represented by block 620 e, in some implementations, the method 600includes generating the deformation model for the CGR object based on asize of the wearable physical article. For example, as shown in FIG. 2B,the electronic device 200 generates the deformation model 232 based onthe small size selected by the person 22. As shown in FIG. 2B, the smallsize contributes to the formation of the CGR stretch lines 234.Similarly, as shown in FIG. 2C, the electronic device 200 generates thedeformation model 242 based on the large size selected by the person 22.As shown in FIG. 2C, the large size contributes to the CGR droppings 244and 246.

As represented by block 620 f, in some implementations, the wearablephysical article includes a clothing article (e.g., a T-shirt as shownin FIGS. 2A-2D, or a pair of shorts as shown in FIG. 2F). In variousimplementations, the method 600 allows a person to see how a particularclothing article may fit the person without trying-on the clothingarticle. In some implementations, the clothing article includes anundergarment (e.g., an undershirt or an underwear). Since many stores donot allow people to try-on undergarments, in various implementations,the method 600 allows a person to see how a particular undergarment mayfit the person without trying-on the undergarment. In variousimplementations, the method 600 enables a person to find a clothingarticle that fits the person in a reduced amount of time therebyreducing an amount of time during which a display of the device is keptON. Reducing the amount of time during which the display of the deviceis kept ON reduces the power consumption of the device.

Referring to FIG. 6C, as represented by block 630 a, in someimplementations, the method 600 includes displaying the CGR object asbeing worn by the CGR representation of the person. For example, asshown in FIG. 2B, the electronic device 200 displays the CGR T-shirt 230as being worn by the CGR representation 212 of the person 22.

As represented by block 630 b, in some implementations, the method 600includes displaying a second CGR object in association with a secondportion of the CGR representation of the person. In someimplementations, the second CGR object represents a second wearablephysical article. For example, as shown in FIG. 2F, the electronicdevice 200 displays the CGR shorts 280 as being worn by the CGRrepresentation 212 of the person 22. Concurrently displaying CGR objectsrepresenting multiple wearable physical articles reduces an amount oftime during which the display of the device is kept ON thereby loweringthe power consumption of the device. Concurrently displaying CGR objectsrepresenting multiple wearable physical articles allows the person toselect multiple physical articles concurrently thereby enhancing theuser experience of the device.

As represented by block 640, in some implementations, the method 600includes searching a datastore for a set of wearable physical articlesthat fit the body model of the person, and selecting the wearablephysical article from the set of wearable physical articles that fit thebody model of the person. For example, as shown in FIG. 2E, in someimplementations, the electronic device 200 displays the GUI 260 thatallows the person 22 to search for clothes that fit the body model 270of the person 22.

As represented by block 650, in some implementations, the method 600includes after displaying the CGR object in association with the CGRrepresentation of the person, displaying an affordance to add anidentifier identifying the wearable physical article to a user selectionqueue. For example, as shown in FIG. 2G, the electronic device 200displays the affordance 290 that, when activated, causes the electronicdevice 200 to add an ID identifying the physical T-shirt represented bythe CGR T-shirt 250 to a user selection queue (e.g., the user selectionqueue 150 shown in FIG. 1C). In some implementations, the method 600includes detecting an input directed to the affordance (e.g., detectinga user input activating the affordance 290 shown in FIG. 2G). In someimplementations, the method 600 includes adding the identifieridentifying the wearable physical article to the user selection queue(e.g., writing the identifier to the user selection queue 150 shown inFIG. 1C).

As represented by block 660, in some implementations, the method 600includes scraping source material in order to identify the wearablephysical article. For example, in some implementations, the method 600includes scraping a movie in order to identify a clothing article wornby a fictional character in the movie, and searching a clothingdatastore in order to find a physical clothing article that is within adegree of similarity to the clothing article worn by the fictionalcharacter in the movie.

FIG. 7A is a flowchart representation of a method 700 of concurrentlycontrolling multiple user selection queues. In various implementations,the method 700 is performed by a device with a display, a non-transitorymemory and one or more processors coupled with the display and thenon-transitory memory (e.g., the electronic device 300 shown in FIGS.3A-3I). In some implementations, the method 700 is performed byprocessing logic, including hardware, firmware, software, or acombination thereof. In some implementations, the method 700 isperformed by a processor executing code stored in a non-transitorycomputer-readable medium (e.g., a memory).

As represented by block 710, in various implementations, the method 700includes displaying a plurality of computer-generated reality (CGR)objects representing respective physical articles from a plurality ofsources including a first source and a second source. For example, asshown in FIG. 3A, the electronic device 300 displays the CGR couch 316representing a physical couch from the first source 330, and the CGRpainting 318 representing a physical painting from the second source340.

As represented by block 720, in various implementations, the method 700includes detecting an input selecting a first CGR object of theplurality of CGR objects and a second CGR object of the plurality of CGRobjects. In some implementations, the first CGR object represents afirst physical article from the first source and the second CGR objectrepresents a second physical article from the second source. Forexample, as shown in FIGS. 3B and 3F, the electronic device 300 detectsthe user inputs 350 and 370, respectively, selecting the CGR couch 316and the CGR painting 318, respectively.

As represented by block 730, in various implementations, the method 700includes adding an identifier of the first physical article to a firstuser selection queue that is associated with the first source. Forexample, as shown in FIG. 3B, the electronic device 300 adds the couchID 317 to the first user selection queue 332.

As represented by block 740, in various implementations, the method 700includes adding an identifier of the second physical article to a seconduser selection queue that is associated with the second source. Forexample, as shown in FIG. 3G, the electronic device 300 adds thepainting ID 319 to the second user selection queue 342. In variousimplementations, the method 700 allows concurrently adding IDs ofphysical articles from different sources to respective source-specificuser selection queues thereby reducing user inputs corresponding tomanually navigating to web pages associated with the sources in order toadd the IDs to the respective source-specific user selection queues. Assuch, the method 700 enhances a user experience of the device and/orextends a battery of the device by reducing user inputs and/or byreducing an amount of time during which the display of the device iskept ON.

Referring to FIG. 7B, as represented by block 710 a, in someimplementations, the method 700 includes switching from a web page thatincludes two-dimensional (2D) representations of the physical articlesto the CGR environment in response to an input corresponding to arequest to display the plurality of CGR objects. For example, in someimplementations, the electronic device 300 displays a web page similarto the web user input corresponding to a request to enter a CGR mode,and displaying a CGR environment that includes the plurality of CGRobjects in response to detecting the user input.

As represented by block 710 b, in some implementations, the method 700includes identifying, by a recommendation engine, at least a portion ofthe CGR objects that are displayed. In some implementations, the method700 includes identifying physical articles that are in the physicalenvironment surrounding the device, recommending a new physical articlebased on the physical articles that are in the physical environment, anddisplaying a CGR object representing the new physical article. Forexample, in some implementations, the electronic device 300 identifiestwo floor lamps in the physical environment surrounding the electronicdevice 300, recommends that a couch be placed between the two floorlamps, and displays the CGR couch 316 between the CGR lamps 312 and 314.

As represented by block 720 a, in some implementations, the method 700includes detecting respective contacts with the first and second CGRobjects. For example, as shown in FIGS. 3B and 3F, the electronic device300 detects the user inputs 350 and 370, respectively, on the CGR couch316 and the CGR painting 318, respectively.

As represented by block 720 b, in some implementations, the method 700includes detecting that a CGR representation of a person has touched thefirst and second CGR objects. For example, in some implementations, theCGR environment 310 includes a CGR representation of a person, and theCGR representation provides the user inputs 350 and 370 in FIGS. 3B and3F, respectively.

As represented by block 720 c, in some implementations, the method 700includes detecting a gaze input directed to the first and second CGRobjects. In some implementations, the method 700 includes trackingmovement of an eye of a person using the device, and determining thatthe person has selected the first and second CGR objects in response toa gaze of the eye being fixated at the first and second CGR objects fora threshold amount of time.

As represented by block 720 d, in some implementations, the method 700includes detecting a verbal input directed to the first and second CGRobjects. In some implementations, the method 700 includes detectingspeech input corresponding to a selection of the first and second CGRobjects.

As represented by block 720 e, in some implementations, the method 700includes modifying a visual property of the first and second CGR objectsin order to indicate the selection of the first and second CGR objects.For example, as shown in FIG. 3E, the electronic device 300 displays theCGR couch 316 with a shaded effect in order to indicate that the CGRcouch 316 has been selected. In some implementations, the method 700includes highlighting the selected CGR objects, making the selected CGRobjects brighter, and/or placing a polygon around the selected CGRobjects.

As represented by block 720 f, in some implementations, the method 700includes modifying a visual property of the remainder of the pluralityof CGR objects in order to indicate that the remainder of the pluralityof CGR objects have not been selected. For example, in someimplementations, the method 700 includes graying-out the remainder ofthe plurality of CGR objects, and/or making the remainder of theplurality of CGR object less bright.

Referring to FIG. 7C, as represented by block 730 a, in someimplementations, the first user selection queue includes a first virtualbasket. As represented by block 740 a, in some implementations, thesecond user selection queue includes a second virtual basket. Asrepresented by block 730 b, in some implementations, the first userselection queue includes a first list of favorite CGR objects. Asrepresented by block 740 b, in some implementations, the second userselection queue includes a second list of favorite CGR objects.

As represented by block 750, in some implementations, the method 700includes replacing one of the plurality of CGR objects with areplacement CGR object in response to detecting a replacement inputwhile maintaining the display of the remainder of the plurality of CGRobjects. For example, replacing the CGR couch 116 with another CGR couchthat represents a different physical couch than the physical couchrepresented by the CGR couch 116 while maintaining the display of theCGR painting 318.

FIG. 8A is a flowchart representation of a method 800 of compositing amasking element. In various implementations, the method 800 is performedby a device with a display, an environmental sensor, a non-transitorymemory and one or more processors coupled with the display, theenvironmental sensor and the non-transitory memory (e.g., the electronicdevice 400 shown in FIGS. 4A-4O). In some implementations, the method800 is performed by processing logic, including hardware, firmware,software, or a combination thereof. In some implementations, the method800 is performed by a processor executing code stored in anon-transitory computer-readable medium (e.g., a memory).

As represented by block 810, in various implementations, the method 800includes detecting a physical surface in a physical environmentsurrounding the device. For example, as described in relation to FIGS.4A and 4B, the electronic device 400 detects the physical surface 42 inthe physical environment 40. In some implementations, the method 800includes obtaining a mesh map of the physical environment, anddetermining that the physical environment includes a physical surfacebased on the mesh map. In some implementations, the method 800 includescapturing environmental data corresponding to the physical environment(e.g., images of the physical environment and/or depth datacorresponding to the physical environment), and determining that thephysical environment includes a physical surface based on theenvironmental data.

As represented by block 820, in various implementations, the method 800includes detecting one or more physical articles occluding respectiveportions of the physical surface. For example, as described in relationto FIGS. 4A and 4B, the electronic device 400 detects the physicalarticles 44, 46 and 48 occluding respective portions of the physicalsurface 42. In some implementations, the method 800 includes detectingthe physical articles based on environmental data. In someimplementations, the method 800 includes detecting the physical articlesbased on a mesh map of the physical environment.

As represented by block 830, in various implementations, the method 800includes compositing a masking element in order to mask the one or morephysical articles that are located on the physical surface. For example,as shown in FIG. 4C, the electronic device 400 composites the maskingelement 422 onto the CGR surface 412 in order to mask the CGR objects414, 416 and 418.

Referring to FIG. 8B, as represented by block 830 a, in someimplementations, the method 800 includes determining one or more visualproperties of the physical surface, and configuring the masking elementwith the one or more visual properties of the physical surface. Forexample, in some implementations, the electronic device 400 determinesthe visual property 43 of the physical surface 42, and configures thevisual property 423 of the masking element 422 to be within a degree ofsimilarity to the visual property 43 of the physical surface 42.

As represented by block 830 b, in some implementations, the method 800includes setting a color value of the masking element based on the colorof the physical surface such that a color of the masking element iswithin a degree of similarity to the color of the physical surface. Forexample, in some implementations, the electronic device 400 sets a colorvalue of the masking element 422 such that a color of the maskingelement 422 matches a color of the physical surface 42.

As represented by block 830 c, in some implementations, the method 800includes determining a texture of the physical surface, and setting atexture value of the masking element based on the texture of thephysical surface such that a texture of the masking element is within adegree of similarity to the texture of the physical surface. Forexample, in some implementations, the electronic device 400 sets atexture value of the masking element 422 such that a texture of themasking element 422 matches a texture of the physical surface 42.

As represented by block 830 d, in some implementations, one or morevisual properties of the masking element are different from one or morevisual properties of the physical surface. For example, as shown in FIG.4E, the visual property 423 a of the masking element 422 a is differentfrom the visual property 413 of the CGR surface 412.

As represented by block 830 e, in some implementations, the method 800includes obfuscating an entirety of the physical surface. For example,in some implementations, the masking element 422 masks the entire CGRsurface 412.

As represented by block 830 f, in some implementations, the method 800includes determining a shape of the one or more physical articles, andsynthesizing the masking element based on the shape of the one or morephysical articles. In some implementations, a shape of the maskingelement corresponds to the shape of the one or more physical articles.For example, in some implementations, the masking element 422 conformsthe shape of the CGR objects 414, 416 and/or 418.

As represented by block 830 g, in some implementations, the maskingelement includes a single masking element that masks a plurality of theone or more physical articles. For example, as shown in FIG. 4C, themasking element 422 masks the CGR objects 414, 416 and 418 representingthe physical articles 44, 46 and 48, respectively.

As represented by block 830 h, in some implementations, the maskingelement includes a plurality of masking elements, each masking elementmasks a respective one of the one or more physical articles. Forexample, as shown in FIG. 4F, the electronic device 400 generates themasking elements 424, 426 and 428 in order to mask the CGR objects 414,416 and 418, respectively, that represent the physical articles 44, 46and 48, respectively.

Referring to FIG. 8C, as represented by block 840, in someimplementations, the method 800 includes obtaining an input thatidentifies the one or more physical elements that are to be masked. Forexample, as shown in FIG. 4N, the electronic device 400 detects the userinput 462 that corresponds to a request to mask the CGR objects 414, 416and 418 representing the physical articles 44, 46 and 48, respectively.

As represented by block 850, in some implementations, the method 800includes obtaining an indication to place a computer-generated reality(CGR) object at a location corresponding to the one or more physicalarticles, compositing the masking element in response to obtaining theindication, and overlaying the CGR object onto the masking element. Forexample, as shown in FIGS. 4H, the electronic device 400 obtains arequest to place the fourth CGR object 440 onto the CGR surface 412. Asshown in FIG. 4I, the electronic device 400 composites the maskingelement 422 in response to obtaining the request to place the fourth CGRobject 440 on the CGR surface 412, and overlays the fourth CGR object440 onto the masking element 422.

As represented by block 860, in some implementations, the method 800includes detecting an input to move the CGR object, and concurrentlymoving the masking element and the CGR object in a direction indicatedby the input. For example, with reference to FIG. 4I, when theelectronic device 400 detects an input to move the fourth CGR object 440to an area of the CGR environment 410 that has other CGR objects thatare not currently masked, the electronic device 400 moves the maskingelement 422 to that area in order to mask the CGR objects in that area.

As represented by block 870, in some implementations, the method 800includes displaying a CGR environment that corresponds to the physicalenvironment. In some implementations, the CGR environment includes CGRrepresentations of the one or more physical articles. In someimplementations, the method 800 includes compositing the masking elementonto the CGR representations of the one or more physical articles. Forexample, as shown in FIGS. 4B and 4C, the electronic device 400 displaysthe CGR environment 410 that corresponds to the physical environment 40.As shown in FIG. 4B, the CGR environment 410 includes CGR objects 414,416 and 418 that represent the physical articles 44, 46 and 48,respectively. As shown in FIG. 4C, the electronic device 400 compositesthe masking element 422 in order to mask the CGR objects 414, 416 and418.

As represented by block 880, in some implementations, the method 800includes displaying a pass-through of the physical environment. Forexample, as discussed in relation to FIG. 4B, in some implementations,the CGR environment 410 includes a pass-through of the physicalenvironment 40. In some implementations, the method 800 includesdisplaying a video pass-through of the physical environment. In someimplementations, the method 800 includes presenting an opticalpass-through of the physical environment.

FIG. 9 is a block diagram of a device 900 that presents/maskscommunication data in accordance with some implementations. Whilecertain specific features are illustrated, those of ordinary skill inthe art will appreciate from the present disclosure that various otherfeatures have not been illustrated for the sake of brevity, and so asnot to obscure more pertinent aspects of the implementations disclosedherein. To that end, as a non-limiting example, in some implementationsthe device 900 includes one or more processing units (CPUs) 901, anetwork interface 902, a programming interface 903, a memory 904, anenvironmental sensor 907, one or more input/output (I/O) devices 908,and one or more communication buses 905 for interconnecting these andvarious other components.

In some implementations, the network interface 902 is provided to, amongother uses, establish and maintain a metadata tunnel between a cloudhosted network management system and at least one private networkincluding one or more compliant devices. In some implementations, theone or more communication buses 905 include circuitry that interconnectsand controls communications between system components. The memory 904includes high-speed random access memory, such as DRAM, SRAM, DDR RAM orother random access solid state memory devices, and may includenon-volatile memory, such as one or more magnetic disk storage devices,optical disk storage devices, flash memory devices, or othernon-volatile solid state storage devices. The memory 904 optionallyincludes one or more storage devices remotely located from the one ormore CPUs 901. The memory 904 comprises a non-transitory computerreadable storage medium.

In various implementations, the environmental sensor 907 includes animage sensor. For example, in some implementations, the environmentalsensor 907 includes a camera (e.g., a scene-facing camera, anoutward-facing camera or a rear-facing camera). In some implementations,the environmental sensor 907 includes a depth sensor. For example, insome implementations, the environmental sensor 907 includes a depthcamera.

In some implementations, the one or more I/O devices 908 include adisplay for displaying a CGR environment (e.g., the CGR environment 110shown in FIGS. 1C-1F and 1H-1L, the CGR environment 210 shown in FIGS.2A-2D and 2F-2G, the CGR environment 310 shown in FIGS. 3A-3H, or theCGR environment 410 shown in FIGS. 4B-4O). In some implementations, thedisplay includes a video pass-through display which displays at least aportion of a physical environment surrounding the device 900 as an imagecaptured by a scene camera. In various implementations, the displayincludes an optical see-through display which is at least partiallytransparent and passes light emitted by or reflected off the physicalenvironment.

In some implementations, the memory 904 or the non-transitory computerreadable storage medium of the memory 904 stores the following programs,modules and data structures, or a subset thereof including an optionaloperating system 906, a data obtainer 910, and a CGR experiencegenerator 920. In various implementations, the device 900 performs themethods 500, 600, 700 and/or 800. In various implementations, the device900 implements the electronic devices 100, 200, 300 and/or 400.

In some implementations, the data obtainer 910 obtains data. In someimplementations, the data obtainer 910 obtains inputs (e.g., detectsuser inputs). In some implementations, the data obtainer 910 obtainsenvironmental data from the environmental sensor 907. To that end, thedata obtainer 910 includes instructions 910 a, and heuristics andmetadata 910 b. In some implementations, the CGR experience generator920 generates and presents the CGR environments 110, 210, 310 and/or410. To that end, the CGR experience generator 920 includes instructions920 a, and heuristics and metadata 920 b.

While various aspects of implementations within the scope of theappended claims are described above, it should be apparent that thevarious features of implementations described above may be embodied in awide variety of forms and that any specific structure and/or functiondescribed above is merely illustrative. Based on the present disclosureone skilled in the art should appreciate that an aspect described hereinmay be implemented independently of any other aspects and that two ormore of these aspects may be combined in various ways. For example, anapparatus may be implemented and/or a method may be practiced using anynumber of the aspects set forth herein. In addition, such an apparatusmay be implemented and/or such a method may be practiced using otherstructure and/or functionality in addition to or other than one or moreof the aspects set forth herein.

It will also be understood that, although the terms “first”, “second”,etc. may be used herein to describe various elements, these elementsshould not be limited by these terms. These terms are only used todistinguish one element from another. For example, a first node could betermed a second node, and, similarly, a second node could be termed afirst node, which changing the meaning of the description, so long asall occurrences of the “first node” are renamed consistently and alloccurrences of the “second node” are renamed consistently. The firstnode and the second node are both nodes, but they are not the same node.

The terminology used herein is for the purpose of describing particularimplementations only and is not intended to be limiting of the claims.As used in the description of the implementations and the appendedclaims, the singular forms “a”, “an”, and “the” are intended to includethe plural forms as well, unless the context clearly indicatesotherwise. It will also be understood that the term “and/or” as usedherein refers to and encompasses any and all possible combinations ofone or more of the associated listed items. It will be furtherunderstood that the terms “comprises” and/or “comprising”, when used inthis specification, specify the presence of stated features, integers,steps, operations, elements, and/or components, but do not preclude thepresence or addition of one or more other features, integers, steps,operations, elements, components, and/or groups thereof.

As used herein, the term “if” may be construed to mean “when” or “upon”or “in response to determining” or “in accordance with a determination”or “in response to detecting”, that a stated condition precedent istrue, depending on the context. Similarly, the phrase “if it isdetermined [that a stated condition precedent is true]” or “if [a statedcondition precedent is true]” or “when [a stated condition precedent istrue]” may be construed to mean “upon determining” or “in response todetermining” or “in accordance with a determination” or “upon detecting”or “in response to detecting” that the stated condition precedent istrue, depending on the context.

What is claimed is:
 1. A method comprising: at a device including adisplay, a non-transitory memory, and one or more processors coupledwith the display and the non-transitory memory: displaying a pluralityof computer-generated reality (CGR) objects representing respectivephysical articles from a plurality of sources including a first sourceand a second source; detecting an input selecting a first CGR object ofthe plurality of CGR objects and a second CGR object of the plurality ofCGR objects, wherein the first CGR object represents a first physicalarticle from the first source and the second CGR object represents asecond physical article from the second source; adding an identifier ofthe first physical article to a first user selection queue that isassociated with the first source; and adding an identifier of the secondphysical article to a second user selection queue that is associatedwith the second source.
 2. The method of claim 1, wherein detecting theinput comprises: detecting respective contacts with the first and secondCGR objects.
 3. The method of claim 1, wherein detecting the inputcomprises: detecting that a CGR representation of a person has touchedthe first and second CGR objects.
 4. The method of claim 1, whereindetecting the input comprises: detecting a gaze input directed to thefirst and second CGR objects.
 5. The method of claim 1, whereindetecting the input comprises: detecting a verbal input directed to thefirst and second CGR objects.
 6. The method of claim 1, furthercomprising: modifying a visual property of the first and second CGRobjects in order to indicate the selection of the first and second CGRobjects.
 7. The method of claim 1, further comprising: modifying avisual property of the remainder of the plurality of CGR objects inorder to indicate that the remainder of the plurality of CGR objectshave not been selected.
 8. The method of claim 1, further comprising:switching from a web page that includes two-dimensional (2D)representations of the physical articles to the CGR environment inresponse to an input corresponding to a request to display the pluralityof CGR objects.
 9. The method of claim 1, further comprising:identifying, by a recommendation engine, at least a portion of the CGRobjects that are displayed.
 10. The method of claim 1, furthercomprising: replacing one of the plurality of CGR objects with areplacement CGR object in response to detecting a replacement inputwhile maintaining the display of the remainder of the plurality of CGRobjects.
 11. The method of claim 1, wherein the first user selectionqueue includes a first virtual basket and the second user selectionqueue includes a second virtual basket.
 12. The method of claim 1,wherein the first user selection queue includes a first list of favoriteCGR objects and the second user selection queue includes a second listof favorite CGR objects.
 13. A device comprising: one or moreprocessors; a display; a non-transitory memory; and one or more programsstored in the non-transitory memory, which, when executed by the one ormore processors, cause the device to: display a plurality ofcomputer-generated reality (CGR) objects representing respectivephysical articles from a plurality of sources including a first sourceand a second source; detect an input selecting a first CGR object of theplurality of CGR objects and a second CGR object of the plurality of CGRobjects, wherein the first CGR object represents a first physicalarticle from the first source and the second CGR object represents asecond physical article from the second source; add an identifier of thefirst physical article to a first user selection queue that isassociated with the first source; and add an identifier of the secondphysical article to a second user selection queue that is associatedwith the second source.
 14. The device of claim 13, wherein detectingthe input comprises: detecting respective contacts with the first andsecond CGR objects.
 15. The device of claim 13, wherein detecting theinput comprises: detecting that a CGR representation of a person hastouched the first and second CGR objects.
 16. The device of claim 13,wherein detecting the input comprises: detecting a gaze input directedto the first and second CGR objects.
 17. The device of claim 13, whereinthe one or more programs further cause the device to: modify a visualproperty of the first and second CGR objects in order to indicate theselection of the first and second CGR objects; and modify a visualproperty of the remainder of the plurality of CGR objects in order toindicate that the remainder of the plurality of CGR objects have notbeen selected.
 18. The device of claim 13, wherein the one or moreprograms further cause the device to: switch from a web page thatincludes two-dimensional (2D) representations of the physical articlesto the CGR environment in response to an input corresponding to arequest to display the plurality of CGR objects.
 19. The device of claim13, wherein the first user selection queue includes a first list offavorite CGR objects and the second user selection queue includes asecond list of favorite CGR objects.
 20. A non-transitory memory storingone or more programs, which, when executed by one or more processors ofa device with a display, cause the device to: display a plurality ofcomputer-generated reality (CGR) objects representing respectivephysical articles from a plurality of sources including a first sourceand a second source; detect an input selecting a first CGR object of theplurality of CGR objects and a second CGR object of the plurality of CGRobjects, wherein the first CGR object represents a first physicalarticle from the first source and the second CGR object represents asecond physical article from the second source; add an identifier of thefirst physical article to a first user selection queue that isassociated with the first source; and add an identifier of the secondphysical article to a second user selection queue that is associatedwith the second source.